OOS 50 - Using Data to Improve Models of Forest Dynamics

Friday, August 11, 2017: 8:00 AM-11:30 AM
Portland Blrm 256, Oregon Convention Center
Margaret E. K. Evans, University of Arizona
Michael Dietze, Boston University; and David J.P. Moore, University of Arizona
Margaret E. K. Evans, University of Arizona
Better prediction and understanding of forest dynamics is important because of the many ecosystem services provided by forests – global climate regulation via carbon sequestration, provisioning of drinking water, flood regulation, erosion control – in addition to the habitat they provide for many species (supporting biodiversity). Climate change is expected to change the geographic distribution of the forest biome, with uncertain consequences with respect to these ecosystem services. Commitments made at the COP21 meeting, in particular, heighten the need to account for the role forests play in the global carbon cycle and anticipate their future behavior. Forests are complex systems that offer many entry points for study, both with respect to sources of data (forest plot, tree ring, flux tower, pollen, functional trait, remotely sensed), and modeling approaches (ecosystem, dynamic vegetation, forest gap, demographic, and physiological models). In this session, we bring together researchers modeling forest dynamics from diverse perspectives – carbon dynamics, ecophysiology, population and community ecology, paleoecology, and forestry. The goal is to span the many kinds of data relevant for inferring forest dynamics, with an emphasis on combining data sources (data assimilation, inverse modeling) to better constrain parameters, and synthesis across modeling approaches to address the many processes and spatio-temporal scales important for forest dynamics.
8:00 AM
 Implementing forest age- and size-structured dynamics within Earth system models
Benjamin Poulter, NASA Goddard Space Flight Center; Neil Pederson, Harvard University; Philippe Ciais, CNRS; Michiel Pillet, University of Arizona; Emilie Joetzjer, LSCE; Leonardo Calle, Montana State University; Sebastiaan Luyssaert, University of Antwerp
8:20 AM
 Modeling forest carbon cycle using long term carbon stock field measurement in the Delaware River Basin
Bing Xu, University of Pennsylvania; Yude Pan, Forest Service; Alain F. Plante, University of Pennsylvania; Kevin McCullough, Forest Service; Richard Birdsey, Forest Service
9:00 AM
 Hierarchical Bayesian calibration of a dynamic vegetation model using inventory data
Istem Fer, Boston University; Sean McMahon, 647 Contees Wharf Road; Jacqueline E. Mohan, University of Georgia; James S. Clark, Duke University; Michael Dietze, Boston University
9:20 AM
 Assimilating tree ring and fossil pollen data to improve understanding of unobservable forest processes
Ann Raiho, University of Notre Dame; Jason S. McLachlan, University of Notre Dame; Andria Dawson, University of Arizona; Michael Dietze, Boston University
9:40 AM
9:50 AM
 Combining models and data to understand vegetation function across timescales
David J.P. Moore, University of Arizona; Andrew M. Fox, University of Arizona; Francesc Montane, University of Arizona; Amy R. Hudson, University of Arizona; Natasha MacBean, University of Arizona; M. Ross Alexander, University of Arizona; Mallory L. Barnes, University of Arizona; Ave Arellano, University of Arizona; William K. Smith, University of Arizona
10:10 AM
10:30 AM
 Linking tree evolutionary strategies to ecological models through demography
Sean M. McMahon, Smithsonian Institution Global Earth Observatory
10:50 AM
 Assimilation of tree-ring and repeat census data to model interactions between climate and past forest dynamics
Malcolm S. Itter Jr., Michigan State University; John B. Bradford, U.S. Geological Survey; Anthony W. D'Amato, University of Vermont; Margaret E. K. Evans, University of Arizona; Andrew O. Finley, Michigan State University; Jane R. Foster, University of Minnesota; Brian J. Palik, USDA Forest Service
11:10 AM
 Computationally efficient, large-scale application of individual- and trait-based models of tree growth and mortality
Kiona Ogle, Northern Arizona University; Jarrett Barber, Northern Arizona University; Michael Fell, Northern Arizona University; Adam Leighton, Arizona State University; Jeremy W. Lichstein, University of Florida